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A modeling approach to direct interspecies electron transfer process in anaerobic transformation of ethanol to methane

Overview of attention for article published in Environmental Science and Pollution Research, October 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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9 X users

Citations

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20 Dimensions

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54 Mendeley
Title
A modeling approach to direct interspecies electron transfer process in anaerobic transformation of ethanol to methane
Published in
Environmental Science and Pollution Research, October 2016
DOI 10.1007/s11356-016-7776-9
Pubmed ID
Authors

Yiwen Liu, Yaobin Zhang, Zhiqiang Zhao, Huu Hao Ngo, Wenshan Guo, Junliang Zhou, Lai Peng, Bing-Jie Ni

Abstract

Recent studies have shown that direct interspecies electron transfer (DIET) plays an important part in contributing to methane production from anaerobic digestion. However, so far anaerobic digestion models that have been proposed only consider two pathways for methane production, namely, acetoclastic methanogenesis and hydrogenotrophic methanogenesis, via indirect interspecies hydrogen transfer, which lacks an effective way for incorporating DIET into this paradigm. In this work, a new mathematical model is specifically developed to describe DIET process in anaerobic digestion through introducing extracellular electron transfer as a new pathway for methane production, taking anaerobic transformation of ethanol to methane as an example. The developed model was able to successfully predict experimental data on methane dynamics under different experimental conditions, supporting the validity of the developed model. Modeling predictions clearly demonstrated that DIET plays an important role in contributing to overall methane production (up to 33 %) and conductive material (i.e., carbon cloth) addition would significantly promote DIET through increasing ethanol conversion rate and methane production rate. The model developed in this work will potentially enhance our current understanding on syntrophic metabolism via DIET.

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Student > Master 8 15%
Student > Bachelor 5 9%
Researcher 4 7%
Professor 2 4%
Other 3 6%
Unknown 16 30%
Readers by discipline Count As %
Environmental Science 13 24%
Engineering 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Agricultural and Biological Sciences 3 6%
Chemical Engineering 2 4%
Other 3 6%
Unknown 20 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2017.
All research outputs
#6,839,484
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#1,380
of 9,883 outputs
Outputs of similar age
#100,765
of 319,497 outputs
Outputs of similar age from Environmental Science and Pollution Research
#27
of 179 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.